{"id":"W4396780876","doi":"10.2196/preprints.60173","title":"Improving the management of Acute Myocardial Infarctions: Exploring the barriers and facilitators to implementing a Smartphone Application for physicians (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Business; Medicine; Medical emergency; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008226008,0.0002215716,0.0003897391,0.0005134062,0.001960259,0.002300688,0.0008549169,0.0007852464,0.003585171],"category_scores_gemma":[0.03186116,0.0003236216,0.0006143405,0.0007628753,0.0009289489,0.001968819,0.001920196,0.001204235,0.0004136637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004441971,"about_ca_system_score_gemma":0.02962878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1352727,"about_ca_topic_score_gemma":0.254581,"domain_scores_codex":[0.9961967,0.001446135,0.0003542649,0.00018586,0.0008488053,0.0009683284],"domain_scores_gemma":[0.985224,0.007483724,0.001976321,0.0002678262,0.002719915,0.002328336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003129185,0.002713549,0.5004671,0.003300892,0.00009977978,0.0006759243,0.250131,0.0001884962,0.001584936,0.0008578188,0.01686519,0.2228025],"study_design_scores_gemma":[0.0001179874,0.001729499,0.7242327,0.002494714,0.0001505115,0.0001598576,0.2490602,0.0005515465,0.0005866388,0.0002101218,0.0206453,0.00006095161],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839019,0.000628916,0.0003040291,0.009231079,0.00005605002,0.0008950282,0.0002066147,0.00002328056,0.004753086],"genre_scores_gemma":[0.9869027,0.002484523,0.003132264,0.003417599,0.0000438866,0.001268367,0.0002246453,0.00001174943,0.00251408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352727,"threshold_uncertainty_score":0.2689707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987996551786335,"score_gpt":0.3908326916947467,"score_spread":0.3509527261768833,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}